Users now expect AI conversations to survive page refreshes and network drops, resuming exactly where they left off. This requires reliable, resumable token streaming, a feature that keeps responses flowing uninterrupted. Developers are moving this from a luxury to a baseline requirement, mirroring how video streams recover seamlessly.

Building this is hard because standard HTTP connections are stateless and drop on failure. Most apps tie streaming logic to the browser tab, so a crash or reload kills the context. Server infrastructure often lacks server-side buffering and session tracking, forcing costly restarts and breaking user trust.

A proper solution needs a persistent transport layer, like WebSockets, that decouples generation from the client. The server must buffer output, track sessions, and guarantee ordered, exactly-once delivery. This infrastructure allows streams to survive device switches and crashes, transforming fragile connections into a dependable conduit for AI data.